maelstrom: Forward modeling of pulsating stars in binaries
Software
Hey, Daniel R., Murphy, Simon J., Foreman-Mackey, Dan, Bedding, Timothy R., Pope, Benjamin J.S. and Hogg, David W.. 2022. maelstrom: Forward modeling of pulsating stars in binaries
. Astrophysics Source Code Library.
Title | maelstrom: Forward modeling of pulsating stars in binaries |
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Creators | Hey, Daniel R., Murphy, Simon J., Foreman-Mackey, Dan, Bedding, Timothy R., Pope, Benjamin J.S. and Hogg, David W. |
Year | 2022 |
Publisher | Astrophysics Source Code Library |
Web Address (URL) | https://ascl.net/2205.005 |
Abstract | maelstrom models binary orbits through the phase modulation technique. This set of custom PyMC3 models and solvers fit each individual datapoint in the time series by forward modeling the time delay onto the light curve. This approach fully captures variations in a light curve caused by an orbital companion. |
Keywords | Software |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 510109. Stellar astronomy and planetary systems |
Byline Affiliations | University of Sydney |
Flatiron Institute, United States | |
New York University, United States |
Permalink -
https://research.usq.edu.au/item/z9815/maelstrom-forward-modeling-of-pulsating-stars-in-binaries
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